The Cardiovascular Research Grid

描述(由申请人提供)： 心血管研究网格(CVRG)项目是一个R24资源，支持心血管(CV)研究社区的信息学需求。CVRG项目开发和部署了独特的核心技术，用于管理和分析CV数据，这些技术正被广泛用于推动生物医学项目(DBF)。这包括：a)用于存储和管理不同类型的生物医学数据的工具；b)用于保护数据的方法；c)用于查询这些数据的组合以便用户可以挖掘其数据以获取新知识的工具；d)用于发现生物标记物的新的统计学习方法；e)分析关于心脏形状和运动的图像数据以发现指示疾病的生物标记物的新工具；f)用于管理、分析和注释心电数据的工具。所有这些工具都有文档记录，并可从CVRG网站和Wiki免费获得。在这次更新中，我们提出了一系列新的项目，这些项目将增强我们的用户探索和分析他们的数据以了解心脏病的原因和治疗的能力。每个项目都直接受到我们一个或多个dBF需求的推动。项目1将开发和应用新的算法来发现心脏形状和运动的变化，这些算法可以及时预测发展中的心脏病的早期存在，以便进行治疗干预。项目2将创建数据管理系统，用于存储在大型多中心临床研究中收集的CV图像数据，并执行质量控制操作，以确保数据的完整性。项目3将为管理和分析心电数据开发一个完整的基础设施。项目4将开发一个全面的临床信息学系统，允许将临床信息与从受试者收集的生物医学数据联系起来。项目5将开发工具，非专家用户可以利用这些工具快速组装新的程序来分析他们的数据。项目6将建立一个项目管理结构，确保CVRG的成功运行。

DESCRIPTION (provided by applicant): The Cardiovascular Research Grid (CVRG) Project is an R24 resource supporting the informatics needs of the cardiovascular (CV) research community. The CVRG Project has developed and deployed unique core technology for management and analysis of CV data that is being used in a broad range of Driving Biomedical Projects (DBFs). This includes: a) tools for storing and managing different types of biomedical data; b) methods for securing the data; c) tools for querying combinations of these data so that users may mine their data for new knowledge; d) new statistical learning methods for biomarker discovery; e) novel tools that analyze image data on heart shape and motion to discover biomarkers that are indicative of disease; f) tools for managing, analyzing, and annotating ECG data. All of these tools are documented and freely available from the CVRG website and Wiki. In this renewal, we propose a set of new projects that will enhance the capability of our users to explore and analyze their data to understand the cause and treatment of heart disease. Each project is motivated directly by the needs of one or more of our DBFs. Project 1 will develop and apply new algorithms for discovering changes in heart shape and motion that can predict the early presence of developing heart disease in time for therapeutic intervention. Project 2 will create data management systems for storing CV image data collected in large, multi-center clinical research studies, and for performing quality control operations that assure the integrity of that data. Project 3 will develop a complete infrastructure for managing and analyzing ECG data. Project 4 will develop a comprehensive clinical informatics system that allows clinical information to be linked with biomedical data collected from subjects. Project 5 will develop tools by which non-expert users can quickly assemble new procedures for analyzing their data. Project 6 will put in place a project management structure that will assure successful operation of the CVRG.